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Name: Neural Network Basics in Python
Rating: 4.58 (133 reviews)

Neural Network Basics in Python

4.58 Intermediate level 17.25 learning hrs 2.2K+ Learners

Explore Neural Network Basics in Python: Ignite Deep Learning with Tensorflow, Keras, MLP, Backpropagation, Batch Normalization, and Stock Price Prediction. Join the free course now!

Instructor:

Sunil Kumar Vuppala

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Skills you will gain

Neural Network Basics in Python

Key Highlights

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About this course

Uncover the fundamentals of neural networks and deep learning, guided by expert instruction. Explore essential concepts like Tensorflow and Keras, delve into the architecture of Multilayer Perceptrons, understand Back Propagation, and harness the power of Batch Normalization. The course culminates in a practical application—Stock Price Prediction using Deep Learning. Gain hands-on experience, enhance your Python skills, and unlock the secrets of neural networks. Elevate your understanding of the digital frontier and enroll today for an enriching educational experience.

Ready to enhance your skills further? Next, explore our Postgraduate Program in Artificial Intelligence and Machine Learning.

Stand out with an industry-recognized certificate

Start learning

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

Course outline

Introduction to Neural Network and Deep learning

Gain foundational knowledge in neural networks and deep learning, understanding the basics of artificial neural networks and their application in solving complex problems.

Introduction to Tensorflow and Keras

Explore the powerful tools of TensorFlow and Keras for building and training neural networks. This course provides a hands-on introduction to these frameworks, essential for deep learning development.

Multilayer Perceptron

Dive deeper into neural network architecture by studying the multilayer perceptron (MLP). Understand how this fundamental structure contributes to the learning capabilities of neural networks.

Back Propagation

Delve into the backpropagation algorithm, a key component in training neural networks. Learn how this optimization technique adjusts weights to minimize errors and enhance the model's predictive accuracy.

Batch Normalisation

Explore the benefits of batch normalization in neural networks. This course covers the normalization technique applied to mini-batches, improving the training process and stability of deep learning models.

Stock Price Prediction using Deep Learning

Apply the knowledge gained in neural networks and deep learning to predict stock prices. This course focuses on using deep learning techniques to analyze historical stock data and make informed predictions in financial markets.

Get access to the complete curriculum once you enroll in the course

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Neural Network Basics in Python

4.58

17.25 Hours

Intermediate

2.2K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

Trusted by 10 Million+ Learners globally

4.6

4.89

4.94

4.7

Learner reviews of the Free Courses

4.58

★★★★

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73%

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21%

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Shayan nazari

5.0

★★★★ ★

“Mastering Neural Networks: Foundations in Python”

This course provides a foundational understanding of neural networks, focusing on core concepts and practical applications using Python. Participants will learn about various architectures, activation functions, and training methods, empowering them to build and deploy their own neural network models effectively. Ideal for beginners, this hands-on course combines theory with real-world examples to ensure a solid grasp of neural networks in Python.

Shubham Mallick

5.0

★★★★ ★

India

“Deep Dive into Neural Networks: My Enriching Experience with Great Learning's Python Course”

I recently completed the Neural Network Basics in Python course from Great Learning and found it highly valuable! The curriculum was detailed, covering in-depth topics, and introduced me to new tools. The instructors explained complex concepts well, and the quizzes after each topic were a great way to reinforce learning. Overall, a fantastic course that strengthened my understanding of neural networks!

ALETTI PRANAY

5.0

★★★★ ★

India

“Master Neural Networks: Comprehensive Online Course”

Learn the fundamentals and advanced techniques of Neural Networks in this hands-on course. Explore key concepts like backpropagation, deep learning, and activation functions. Gain practical experience through projects and enhance your skills for real-world applications in AI and machine learning

Sripathi Abhilash

5.0

★★★★ ★

India

“Comprehensive Learning Experience with Practical Skills and Engaging Instruction!”

I really appreciated the practical skills and tools provided throughout the course. They were directly applicable to real-world scenarios, which made the learning experience more engaging. Additionally, the instructor was knowledgeable and approachable, fostering a positive learning environment. The course structure was well organized, making it easy to follow along and understand complex topics. Overall, it was a valuable experience that I would recommend to others!

Mohammad Gouse Pasha

5.0

★★★★ ★

India

“neural network using python 15 hours”

Content Coverage: The course covers a wide range of essential topics in machine learning and neural networks, from basic concepts like perceptrons and activation functions to advanced topics like LSTMs and batch normalization. This progression allows learners to build a solid understanding of both the theoretical and practical aspects of deep learning.

Dubyala Vedasai

5.0

★★★★ ★

India

“"BackPropagation: I grasped the concept of how errors are propagated backwards to adjust weights and biases in neural networks. ”

"Exciting to dive into deep learning, specifically neural networks. I love the potential to unravel complex patterns and predictions. Fascinating to learn how artificial intelligence can mimic human brain functions."

What our learners enjoyed the most

Skill & tools

69%

69% of learners found all the desired skills & tools

Our course instructor

Sunil Kumar Vuppala

Director-Data Science

Data Science Expert

224.3K+ Learners

4 Courses

Sunil Kumar Vuppala, an alumnus of IIT Roorkee and IIM Ahmedabad, is a distinguished AI and data science leader with over 20 years of combined industrial and research experience. As the Director of Data Science at Ericsson, he specializes in machine learning, deep learning, and advanced analytics, driving innovation and digital transformation across various domains. Sunil has a proven track record of leading cross-functional teams to deliver impactful AI solutions, leveraging data-driven approaches to solve complex business challenges and enhance operational efficiency.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

How long does it take to complete this Free Neural Network Basics course?

It is a 13 hour long course, but it is self-paced. Once you enrol, you can take your own time to complete the course.

Will I have lifetime access to the free course?

Yes, once you enrol in the course, you will have lifetime access to any of the Great Learning Academy’s free courses. You can log in and learn whenever you want to.

Will I get a certificate after completing this Free Neural Networks course?

Yes, you will get a certificate of completion after completing all the modules and cracking the assessment.

How much does this Neural Network Basics in Python course cost?

It is an entirely free course from Great Learning Academy.

Is there any limit on how many times I can take this free course?

No. There is no limit. Once you enrol in the Free Neural Network Basics in Python course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

What prerequisites are required to enrol in this Free Neural Network Basics in Python course?

You do not need any prior knowledge to enrol in this Neural Network Basics in Python course.

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